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The Infinitesimal Jackknife with Exploratory Factor Analysis

Published online by Cambridge University Press:  01 January 2025

Guangjian Zhang ,
Kristopher J. Preacher  and
Robert I. Jennrich
Guangjian Zhang*
Affiliation:
University of Notre Dame
Kristopher J. Preacher
Affiliation:
Vanderbilt University
Robert I. Jennrich
Affiliation:
University of California at Los Angeles
*
Requests for reprints should be sent to Guangjian Zhang, Psychology Department, Haggar Hall, University of Notre Dame, Notre Dame, IN 46556, USA. E-mail: [email protected]
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Abstract

The infinitesimal jackknife, a nonparametric method for estimating standard errors, has been used to obtain standard error estimates in covariance structure analysis. In this article, we adapt it for obtaining standard errors for rotated factor loadings and factor correlations in exploratory factor analysis with sample correlation matrices. Both maximum likelihood estimation and ordinary least squares estimation are considered.

Keywords

exploratory factor analysisstandard errorEFAinfinitesimal jackknifeIJKnonparametric standard error estimatesmodel misspecificationnonnormal dataminimum deviance methods
Type
Original Paper
Information
Psychometrika , Volume 77 , Issue 4 , October 2012 , pp. 634 - 648
Copyright
Copyright © 2012 The Psychometric Society

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